Overview of Machine Learning Algorithms and Its Applications |
Author(s): |
| Dr K Padmavathi , PSG College of Arts and Science, Coimbatore |
Keywords: |
| Machine Learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning |
Abstract |
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Machine Learning is a large field of study that uses most powerful exciting technologies and inherits ideas from many fields such as artificial intelligence and data mining. It main focus of the fields are learning or acquiring knowledge from experience and synthesizing useful concepts from historical data. Machine Learning makes the computer more similar to humans and uses or exposes sets of data, which learn from earlier computations to interpret available data and identify hidden patterns. This involves data analysis and automation of analytical model using numerous Machine Learning algorithms. Machine Learning algorithms enable computers and computing machines to search and identify hidden insights and follow a certain type of data for computations. There are many different types of learning techniques and algorithms encountered as a practitioner in the field of machine learning. This paper gives a gentle introduction about the different types of techniques that can be used in the field of machine learning. |
Other Details |
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Paper ID: IJSRDV8I70029 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 854-856 |
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